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--- |
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language: |
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- en |
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license: apache-2.0 |
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base_model: openai/whisper-small |
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tags: |
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- generated_from_trainer |
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datasets: |
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- chris_W/dataset |
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model-index: |
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- name: Whisper-Small-dadirri |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Whisper-Small-dadirri |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the hearing voice dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0231 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 100 |
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- training_steps: 400 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 0.52 | 50 | 3.0035 | |
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| 4.521 | 1.03 | 100 | 1.4394 | |
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| 4.521 | 1.55 | 150 | 2.7847 | |
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| 1.8786 | 2.06 | 200 | 0.4913 | |
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| 1.8786 | 2.58 | 250 | 0.0458 | |
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| 0.0755 | 3.09 | 300 | 0.0379 | |
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| 0.0755 | 3.61 | 350 | 0.0285 | |
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| 0.0126 | 4.12 | 400 | 0.0231 | |
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### Framework versions |
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- Transformers 4.38.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.19.1 |
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- Tokenizers 0.15.2 |
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